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Test-Time Forecasting: Recurrent Depth Enables In-Context Dynamics Prediction
Foundation models for dynamical systems can forecast unseen partial differential equations (PDEs), ordinary differential equations (ODEs), and time series during inference. However, it remains an open question whether these foundation models truly learn generalizable in-context forecasting strategie
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